✦ Luna Orbit — Data & Analytics

Senior Analytics Engineer

at Opiniion

📍 Remote, US Remote 💰 $125K – $145K USD / year Posted April 14, 2026
Salary $125K – $145K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

Build the analytics layer for Opiniion by creating reliable dimensional and semantic data models in a medallion architecture and delivering governed metrics and dashboards. Partner with data engineering to ensure data quality, lineage, and freshness while collaborating with Product, CS, Sales, and Marketing to translate questions into actionable insights.

  • Build and maintain dimensional and semantic models in Databricks within a medallion architecture
  • Own the gold layer using clean, tested, version-controlled SQL transformations
  • Partner on data quality, lineage, and freshness across medallion layers
  • Design and build dashboards and topics in Omni Analytics
  • Document and govern KPI definitions and maintain a metric catalog

Hands-on individual contributor focused on SQL and Databricks modeling (bronze/silver/gold) to power analytics. Create dashboards and topics in Omni Analytics with governance practices, and maintain a metric catalog with consistent KPI definitions across reporting surfaces.

The ideal candidate is a Senior Analytics Engineer with strong SQL experience and hands-on work building governed analytics models in Databricks. They have experience implementing a medallion architecture (bronze/silver/gold), creating dashboards in Omni Analytics, and collaborating closely with Product, CS, Sales, and Marketing to translate business questions into trustworthy metrics.

SQLDatabricksOmni Analyticsmedallion architecture (bronzesilvergold)building and maintaining dimensional and semantic modelsgold-layer modelsgoverned metricsdashboard design and build
FivetranDatabricksOmni AnalyticsSQLversion control
SQLDatabricksFivetranOmni Analyticsmedallion architecturedimensional modelssemantic modelsdata qualitydata lineagedata freshnessdashboardsgoverned metricsmetric catalogKPI definitions
SQLData modelingDimensional modelsSemantic modelsDatabricksmedallion architecturebronze layersilver layergold layerdata transformationdata qualitydata lineagedata freshnessversion-controlled SQL transformationstested SQL transformationsdashboardsOmni Analyticsgovernance practicesnaming conventionsdocumentationtestingmetric catalogKPI definitionsclient-facing analytics views
cross-team communicationcollaborationtranslating questions into reliable analyticsregular presence in conversationssurfacing insightscommunication with Productcommunication with Client Successcommunication with Salescommunication with Marketingpartnershipstakeholder management
Industry SaaS
Job Function Create governed analytics models and dashboards using SQL and Databricks to enable trusted self-serve metrics.
Role Subtype Analytics Engineer
Tech Domains Python, SQL / PostgreSQL
Senior Analytics EngineerAnalytics EngineerSQLDatabricksFivetranOmni Analyticsmedallion architecturebronzesilvergolddimensional modelssemantic modelsdata modelingdata transformationdata qualitydata lineagedata freshnessgovernancemetric catalogKPI definitionsdashboardsversion-controlled SQLtested SQLclient-facing analytics views

Must have hands-on experience with SQL, Must have hands-on experience with Databricks gold-layer modeling, Must have experience building dashboards/topics in Omni Analytics

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